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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

SQL Override

SQL Override

When you add a WHERE clause in a Lookup transformation using a dynamic cache, connect a Filter transformation before the Lookup transformation to filter rows that you do not want to insert into the cache or target table. If you do not include the Filter transformation, you might get inconsistent results between the cache and the target table.
For example, you configure a Lookup transformation to perform a dynamic lookup on the employee table, EMP, matching rows by EMP_ID. You define the following lookup SQL override:
SELECT EMP_ID, EMP_STATUS FROM EMP ORDER BY EMP_ID, EMP_STATUS WHERE EMP_STATUS = 4
When you first run the
session
mapping
, the Integration Service builds the lookup cache from the target table based on the lookup SQL override. All rows in the cache match the condition in the WHERE clause,
EMP_STATUS = 4
.
For example, the Integration Service reads a source row that meets the lookup condition you specify, but the value of EMP_STATUS is 2. Although the target might have the row where EMP_STATUS is 2, the Integration Service does not find the row in the cache because of the SQL override. The Integration Service inserts the row into the cache and passes the row to the target table. When the Integration Service inserts this row in the target table, you might get inconsistent results when the row already exists. In addition, not all rows in the cache match the condition in the WHERE clause in the SQL override.
To verify that you only insert rows into the cache that match the WHERE clause, add a Filter transformation before the Lookup transformation and define the filter condition as the condition in the WHERE clause in the lookup SQL override.
For the example above, enter the following filter condition in the Filter transformation and the WHERE clause in the SQL override:
EMP_STATUS = 4

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